Travis John Osterman

2.4k citations
40 papers · 1.2k · h-index 14

Impact in

Papers in

Travis John Osterman

37 papers receiving 1.2k citations

Peers

Travis John Osterman
Comparison fields: 5 of 97
  • Health Informatics 404
  • Health Information Management 144
  • Genetics 210
  • Artificial Intelligence 143
  • Cancer Research 48
Replace Sarah Sandmann with:
Sarah Sandmann Germany
Lee Wheless United States
Jean Feng United States
Samuel Aronson United States
Barbara J. Evans United States
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Arturo Lopez-Pineda United States
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Citations per field
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Citations per year

Countries citing papers authored by Travis John Osterman

Since Specialization
Citations

This map shows the geographic impact of Travis John Osterman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Travis John Osterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis John Osterman more than expected).

Fields of papers citing papers by Travis John Osterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis John Osterman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Travis John Osterman. The network helps show where Travis John Osterman may publish in the future.

Co-authors

The 25 scholars most cited alongside Travis John Osterman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Travis John Osterman Line = papers co-authored together Travis John Osterman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023327
2 2017261
3 2018147
4 2020118
5 202381
6 202140
7 202128
8 202325
9 202420
10 201919
11 202018
12 201917
13 201915
14 202115
15 202114
16 202114
17 202514
18 20229
19 20226
20 20155

About Travis John Osterman

Travis John Osterman is a scholar working on Health Information Management, Health Informatics, Public Health, Environmental and Occupational Health, Cancer Research and Genetics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (12 papers), Artificial Intelligence in Healthcare and Education (7 papers), Medical Coding and Health Information (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers), Biomedical Text Mining and Ontologies (3 papers), Telemedicine and Telehealth Implementation (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (404 citations), Health Information Management (144 citations), Genetics (210 citations), Artificial Intelligence (143 citations) and Cancer Research (48 citations). Travis John Osterman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert Stephen Miller, Wei-Qi Wei, Dan M. Roden, Nancy Jean Cox, Joy E. Marlo, Lisa A. Bastarache, Eric R. Gamazon, Robert J. Carroll, Joshua C. Denny and Douglas Buckner Johnson. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of the National Comprehensive Cancer Network, American Society of Clinical Oncology Educational Book, Cancer and The Lancet Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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